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Hovelynck et al., 2010 - Google Patents

Multi-modality in one-class classification

Hovelynck et al., 2010

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Document ID
15827683315679111787
Author
Hovelynck M
Chidlovskii B
Publication year
Publication venue
Proceedings of the 19th international conference on World wide web

External Links

Snippet

We propose a method for improving classification performance in a one-class setting by combining classifiers of different modalities. We apply the method to the problem of distinguishing responsive documents in a corpus of e-mails, like Enron Corpus. We extract …
Continue reading at www.ambuehler.ethz.ch (PDF) (other versions)

Classifications

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    • G06F17/3061Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30705Clustering or classification
    • G06F17/3071Clustering or classification including class or cluster creation or modification
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
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    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
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    • G06F17/30613Indexing
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    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
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    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G06K9/6269Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches based on the distance between the decision surface and training patterns lying on the boundary of the class cluster, e.g. support vector machines
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    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
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